126 to 150 of 921 Permanent Visualisation Jobs

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

in: Power BI and Technical Skills: 1–2 years’ experience building and maintaining Power BI reports, with proficiency in SQL and Databricks to analyse large datasets. Analytical and Data Visualisation Expertise: Proven ability to translate data into meaningful insights and create impactful visual reports that inform business decisions. Experience in Consumer and Commercial Insight: Understanding of loyalty and consumer metrics More ❯

to connect to various data sources, transform and model data, and create interactive reports and dashboards to provide actionable business insights leveraging knowledge of DAX, Power Query, and data visualization best practices. 7. Use technologies like Jenkins, Docker, Azure, AWS ECS, EC2, Lambda and Step Functions to deliver scalable and resilient web applications leveraging CI/CD best practices including More ❯

/Accounting Knowledge Familiar with Regulatory requirements Expertise in 340B program operations, compliance, and reporting. Familiarity with grantee healthcare environments (e.g., FQHC, Ryan White). Strong analytical and data visualization skills. Working knowledge of healthcare finance and billing practices. Proficiency in Microsoft Office and data tools (e.g., Power BI). Effective project and team management capabilities. Excellent communication and collaboration More ❯

Developing, Monitoring, and Scheduling Pipelines). Experience with Azure DevOps for Source Control and Deployment. Python Development Experience. Working knowledge of Boomi. Some experience working with Business Intelligence data visualization tools (Tableau/Power BI/SSRS preferred). Experience within Legal Industry is a plus. Other Supervisory Responsibilities : None. Provides general technical team and project leadership. Provide significant input More ❯

scheduling systems is a plus Demonstrated ability to thrive with minimal oversight and process. You connect the dots across business needs and independently drive projects forward Have strong data visualization skills and experience with Power BI is a bonus Have experience with cloud technologies, preferably Microsoft Azure More ❯

Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or data science methods (ML, NLP, Generative AI) desirable. Financial services experience advantageous. More ❯

depth knowledge of Microsoft SQL Server (2017 and above), including SSMS, SSRS, SSAS, SSIS, and SQL scripting. Expertise in database development, data cubes, and data marts. Proficiency with data visualisation tools like Power BI, Tableau, or SAP BusinessObjects. Familiarity with cloud data services such as Azure SQL or AWS Redshift. Understanding of IT networking technologies (e.g., DNS, DHCP). Strong More ❯

processes, reporting quality, and insight delivery. Use tools like Excel, Qlik Sense, Power BI, and Business Objects for data analysis. What You'll Bring Strong analytical skills and data visualisation experience. Proficiency in Excel, Power BI, Qlik Sense, and MI tools. Ability to communicate complex data clearly to senior stakeholders. High attention to detail and strong organisational skills. Experience in More ❯

manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English Application process an introductory call with the recruiter a technical + behaviour interview with one of our Analytics Engineer More ❯

team members. Key Skills & Experience: 5+ years of experience in Azure (ADF, Data Lake, Synapse). Strong SQL skills for data integration and reporting. Experience with Power BI for visualization and analytics. Familiarity with Python (preferred but not currently in use, planned for future projects). Knowledge of modern data warehousing techniques. Ability to work effectively in both Waterfall and More ❯

innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience: - Strong understanding of More ❯

Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or data science methods (ML, NLP, Generative AI) desirable. Financial services experience advantageous. More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). More ❯

recommendations. You will have strong analytical skills and experience in CRM or database fundraising (charity sector preferred). You will be proficient in Power BI, Excel, SQL, and data visualisation tools as well as an understanding of data protection regulations. You will have excellent communication skills and a collaborative approach. You will need to be confident to present finding, suggest More ❯

a high-growth, data-driven environment. I'm looking for: Strong SQL skills for data extraction and manipulation Python experience (data wrangling, cleaning, analysis - modelling not required) Familiarity with visualisation tools such as Power BI, Tableau, or similar Proven ability to interpret and present insights to non-technical stakeholders Experience in financial services, lead generation, or a fast-paced commercial More ❯

technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or Tableau. Leadership or mentoring experience within a technical team. Agile and/or DevOps project delivery experience, including peer reviews and continuous improvement practices. Familiarity More ❯